<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>Selling Options &#187; Volatility</title>
	<atom:link href="http://sellingoptions.net/tag/volatility/feed" rel="self" type="application/rss+xml" />
	<link>http://sellingoptions.net</link>
	<description>Take the income up front</description>
	<lastBuildDate>Fri, 19 Mar 2010 18:08:37 +0000</lastBuildDate>
	<generator>http://wordpress.org/?v=2.8.5</generator>
	<language>en</language>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
			<item>
		<title>Options Trading Strategies &#8211; Book Review &#8211; Sheldon Natenberg, Option Volatility and Pricing</title>
		<link>http://sellingoptions.net/options-trading-strategies-book-review-sheldon-natenberg-option-volatility-and-pricing</link>
		<comments>http://sellingoptions.net/options-trading-strategies-book-review-sheldon-natenberg-option-volatility-and-pricing#comments</comments>
		<pubDate>Sun, 17 Jan 2010 00:11:35 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[Option Trading]]></category>
		<category><![CDATA[How To Trade Options]]></category>
		<category><![CDATA[Implied Volatility]]></category>
		<category><![CDATA[Option Pricing]]></category>
		<category><![CDATA[Options Trading Strategies]]></category>
		<category><![CDATA[Sheldon Natenberg]]></category>
		<category><![CDATA[Volatility]]></category>

		<guid isPermaLink="false">http://sellingoptions.net/options-trading-strategies-book-review-sheldon-natenberg-option-volatility-and-pricing</guid>
		<description><![CDATA[


As with most books on the topic of how to trade options, the amount of material to get through can be daunting. For example, with Sheldon Natenberg’s Option Volatility &#38; Pricing, it is about 418 pages to digest.  There are adequate reader reviews on Amazon and Google Book Search, to help you decide if you [...]]]></description>
			<content:encoded><![CDATA[<p>As with most books on the topic of how to trade options, the amount of material to get through can be daunting. For example, with Sheldon Natenberg’s Option Volatility &amp; Pricing, it is about 418 pages to digest.  There are adequate reader reviews on Amazon and Google Book Search, to help you decide if you will get the book. For those who have just started or are about to read the book, I’ve summarized the core concepts in the larger and essential chapters to help you get through them quicker.The number on the right of the title of the chapter is the number of pages contained within that chapter. It is not the page number.  The percentages represent how much each chapter makes up of the 418 pages in total, excluding appendices.1  The Language of Options.  12, 2.87%.2  Elementary Strategies.  22, 5.26%.3  Introduction to Theoretical Pricing Models.  16, 3.83%.4  Volatility.  30, 7.18%.5  Using an Option&#8217;s Theoretical Value.  14, 3.35%.6  Option Values and Changing Market Conditions.  32, 7.66%.7  Introduction to Spreading.  10, 2.39%.8  Volatility Spreads.  36, 8.61%.9  Risk Considerations.  26, 6.22%.10  Bull and Bear Spreads.  14, 3.35%.11  Option Arbitrage.  28, 6.70%.12  Early Exercise of American Options.  16, 3.83%.13  Hedging with Options.  16, 3.83%.14  Volatility Revisited.  28, 6.70%.15  Stock Index Futures and Options.  30, 7.18%.16  Intermarket Spreading.  22, 5.26%.17  Position Analysis.  32, 7.66%.18  Models and the Real World.  34, 8.13%.Focus on chapters 4, 6, 8, 9, 11, 14, 15, 17 and 18, which makes up about 66% of the book.  These chapters are relevant for practical trading purposes. Here are the key points for these focus chapters, which I’m summarizing from a retail option trader’s perspective.4  Volatility. Volatility as a measure of speed in context of price in/stability for a given product in a particular market.  Despite its shortcomings, the definition of volatility still defaults to these assumptions of the Black-Scholes Model: 1. Price changes of  a product remain random and cannot be engineered, making it impossible to predict price direction prior to its movement. 2. Percent changes in the product’s price are normally distributed.  3. As the product’s price percent changes are counted as continuously compounded, the product’s price on expiry will become lognormally distributed.  4. The lognormal distribution’s mean (mean reversion) is to be found in the product’s forward price.6  Option Values and Changing Market Conditions.  Use of Delta in its 3 equivalent forms: Rate of Change, Hedge Ratio &amp; Theoretical Equivalent of the  Position.  Treatment of Gamma as an option&#8217;s curvature to explain the opposite relationship of OTM/ITM strikes to the ATM strike having the highest Gamma. Dealing with the Theta-Gamma inverse relationship, as well as Theta being intertwined synthetically as long decay and short premium with Implied Volatility, as measured by Vega.8  Volatility Spreads. Emphasis is on the sensitivities of a Ratio Back Spread, Ratio Vertical Spread, Straddle/Strangle, Butterfly, Calendar, and Diagonal to Interest Rates, Dividends and the 4 Greeks with specific attention on the effects of Gamma and Vega.9  Risk Considerations. A sobering reminder to select spreads with the lowest aggregate risk spread versus the highest probability of profit.  Aggregate Risk as measured in terms of Delta (Directional Risk), Gamma (Curvature Risk), Theta (Decay/Premium Risk) and Vega (Volatility Risk).11  Option Arbitrage. Synthetic positions are explained in terms of manufacturing an equivalent risk profile of the original spread, using a mix of single options, other spreads and the underlying product. Clear caution that transforming trades into Conversions, Reversals and Adjustments are not risk-free; but, may raise the trade&#8217;s nearer-term risks even though the longer-term net risk is lowered.  There are material differences in the cash flows of being long options versus short options, arising from the Skew bias unique to a product and the interest rate built into Calls making them disparate against Puts.14  Volatility Revisited.  Different expiry cycles between near-term versus longer-term options creates a longer-term volatility average, a mean volatility.   When volatility rises above its mean, there is relative certainty that it will revert to its mean. Likewise, mean reversion is highly likely as volatility drops below its mean. Gyration around the mean is an identifiable characteristic. Discernible volatility traits make it essential to forecast volatility in 30 day periods: 30-60-90-120 days, give the typical term to be short credit spreads between 30-45 and long debit spreads between 90-120 days.  Reconciling Implied Volatility as a measure of consensus volatility of all buyer/sellers for a given product, with inconsistencies in Historical Volatility and predictive constraints of Future Volatility.15  Stock Index Futures and Options. Effective use of Indexing to remove single stock risk.  Distinct treatment of the risks for stock-settled Indexes (including impact of dividend/exercise) separate from cash-settled Indices (absent of dividend/exercise).  Explains logic for Theoretically Pricing the options on Stock Index Futures, in addition to pricing the Futures contract itself, to determine which is economically viable to trade &#8211; the Futures contract itself or the options on the Futures.17  Position Analysis.  A more robust method than just eye balling the Delta, Gamma, Vega and Theta of a position is to use the relevant Theoretical Pricing model (Bjerksund-Stensland, Black-Scholes, Binomial) to scenario test for changes in dates (daily/weekly) before expiration, % changes in Implied Volatility and price changes within and near +/- 1 Standard Deviation. These factors feeding the scenario tests, once graphed, reveal the relative ratios of Delta/Gamma/Vega/Theta risks in terms of their proportionality impacting the Theoretical Price of specific strikes making up the construction of a spread.18  Models and the Real World. Addresses the weaknesses of these core assumptions used in a traditional pricing model: 1. Markets are not frictionless: buying/selling an underlying contract has restrictions in terms of tax implications, limitation on funding and transaction costs. 2. Interest rates are variable, not constant over the option&#8217;s life. 3. Volatilty is variable, not constant over the options&#8217; life. 4. Trading is not continous 24/7 &#8211; there are exchange holidays resulting in gaps in price changes.  5. Volatility is linked to Theoretical Price of the underlying contract, not independent of it. 6. Percentage of price changes in an underlying contract does not result in a lognormal distribution  of underlying prices at distribution due to Skew &amp; Kurtosis.To conclude, reading these chapters is not academic. Understanding techniques discussed in the chapters must enable you to answer the following key questions.  In the total inventory of your trading account, if you are … </p>
]]></content:encoded>
			<wfw:commentRss>http://sellingoptions.net/options-trading-strategies-book-review-sheldon-natenberg-option-volatility-and-pricing/feed</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Options Trading Strategies â Wrong Use of Historical Volatility and Implied Volatility Crossovers</title>
		<link>http://sellingoptions.net/options-trading-strategies-a%c2%80%c2%93-wrong-use-of-historical-volatility-and-implied-volatility-crossovers</link>
		<comments>http://sellingoptions.net/options-trading-strategies-a%c2%80%c2%93-wrong-use-of-historical-volatility-and-implied-volatility-crossovers#comments</comments>
		<pubDate>Mon, 04 Jan 2010 12:58:19 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[Option Trading]]></category>
		<category><![CDATA[Historical Volatility]]></category>
		<category><![CDATA[How To Trade Options]]></category>
		<category><![CDATA[Implied Volatility]]></category>
		<category><![CDATA[Options Trading Strategies]]></category>
		<category><![CDATA[Stock Option Trading]]></category>
		<category><![CDATA[Volatility]]></category>

		<guid isPermaLink="false">http://sellingoptions.net/options-trading-strategies-a%c2%80%c2%93-wrong-use-of-historical-volatility-and-implied-volatility-crossovers</guid>
		<description><![CDATA[


Not all volatilities are constructed equal.Â  It is critical to differentiate between Historical Volatility and Implied Volatility, so retail traders learn how to trade options focused on what is material to theoretically price option spreads forward.Historical Volatility (HV) measures past price movements of the underlying asset recording the asset&#8217;s actual or realized volatility.Â  The more [...]]]></description>
			<content:encoded><![CDATA[<p>Not all volatilities are constructed equal.Â  It is critical to differentiate between Historical Volatility and Implied Volatility, so retail traders learn how to trade options focused on what is material to theoretically price option spreads forward.Historical Volatility (HV) measures past price movements of the underlying asset recording the asset&#8217;s actual or realized volatility.Â  The more commonly known type of HV is Statistical Volatility, which computes the underlying assets return over a finite but adjustable number of days.Â  Let me explain what âfinite but adjustableâ means.Â  You can vary the number of days to measure the Statistical Volatility: for example, 5-10-50-200 days, thatâs how time-based moving averages and momentum/oscillator studies are built.Â  Though, it is not the case with Implied Volatility.Implied Volatility measures expected values by repetitively refining bid-ask estimates.Â  These estimates are based on the expectations of buyers and sellers. The buyers and sellers (85+% of floor traded volume is driven by institutions, floor traders and market makers) behind the bid and ask values, who do change their estimates within the day, as new information be it macro-economic news or micro-economic data impacting the underlying product becomes available.Â  What is being estimated is the underlying assetâs future fluctuation with certain assumptions embedded into the changes in information of the underlying.Â  That refinement of bid-ask estimates must be completed within finite time-bound option expiration periods. Thatâs why there are monthly and quarterly option expiration cycles. You cannot change these expiration periods, either by shortening or lengthening the number of days, to âconstructâ a time period that gives you faster or slower crossover indicators.Why point out the wrong use of Historical Volatility and Implied Volatiity Crossovers? It is to caution you against the defective use ofÂ  HV-IV crossovers, which is not a reliable trading signal.Â  Remember, for a given expiration month, there can only be one volatility over that specific period.Â  Implied Volatility must leave from where it is currently trading at, to converge at zero on expiration date. Implied Volatility (be it IV for ITM, ATM or OTM strikes) must return to zero on expiry; but, price can go anywhere (up, down or stay flat).To continually sell âoverpricedâ and buy âunder pricedâ options would eventually cause the implied volatility of every single non-zero bid option to line up exactly.Â  Meaning the phenomenon of IVâs âsmilingâ skew disappears, as IV becomes perfectly flat. This hardly happens, especially in highly liquid products. Take for example, the SPY, a broad-based Index; or, GLD â the SPDR Shares ETF in a fast market like Gold. With open interest at the non-zero bid strikes going into the thousands and tens of thousands, do you really think a retail off the floor trader is going to be allowed to âout priceâ the professional hedger on the floor?Â  Unlikely. Calls and Puts in highly liquid products, are like items in an inventory with high supply because there is high demand.Â  This type of inventory does not get âmispricedâ because floor traders have to make a daily living from trading the Calls and Puts âthey will refuse to carry the risk of mispricing overnight.So, what are the key considerations to banking in your edge as a retail trader?  </p>
<p>Where can I learn how to trade options with consistent profits focused on Implied Volatility without Historical Volatility? Follow the link below, entitled âConsistent Resultsâ to see a model retail option traderâs portfolio that excludes the use of HV and focuses on trading only IV. Iâll cite these actual historical events, to bolster the argument for removing Historical Volatility from your trading process altogether.27 Feb, 2007: Widespread Panic from the sizeable China sell-off in equities. If you were trading the options of an index like the FXI which is the iShares product of Chinaâs 25 largest and most liquid Chinese companies though listed in the US; but they are headquartered in China, you would have been impacted. While you can argue itâs possible to have market events recreate the ranges of the Dow, Nasdaq &amp; S&amp;P, how do you recreate the scenario of the VIX and VXN soaring 59% and 39%?22Jan, 2008: Fed cuts rates by 75 basis points prior to the scheduled policy meeting on Jan 30th, whereby the FOMC cut another 50 basis points on the date of the meeting.Â  If you were trading interest-rate sensitive sectors using the options on a Financial ETF or a Banking Index like the BKX; or, the Housing Index like the HGX, you would have been impacted. And in the current environment of rates being near zero, the FOMC while they still have a rate policy tool, they are unable to cut rates by the same number of basis points like before. What was a historical event is not successively repeatable going forward, not until rates are raised again and subsequently they get cut again.Question: How do you reconstruct history?Â  That is the history of events forming Historical Volatility.Â  The answer is in the real examples cited, as with any other financially related historical event &#8211; you cannot reconstruct history. You may be able to mimic parts of HV but you cannot repeat it in its entirety.Â  So, if you continue using HV-IV crossovers, you visually confuse yourself by searching for volatility âmispricingâ patterns that you would like to see; but, you will end up with poor profit performance instead.Â  It makes more practical trading sense to focus purely on IV; then, diversify the trading of volatilities across multiple asset classes beyond equities.Where can I learn more about trading IV across multiple asset classes using only options, without having to own stock? Follow the link below (video-based course), that uses IV Mean Reversion/Mean Repulsion and IV Forecasting, as reliable methods to trade the implied volatilities across broad-based Equity Indexes, Commodity ETFs, Currency ETFs and Emerging Market ETFs. </p>
]]></content:encoded>
			<wfw:commentRss>http://sellingoptions.net/options-trading-strategies-a%c2%80%c2%93-wrong-use-of-historical-volatility-and-implied-volatility-crossovers/feed</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>The Volatility Edge in Options Trading: New Technical Strategies for Investing in Unstable Markets (Hardcover)</title>
		<link>http://sellingoptions.net/the-volatility-edge-in-options-trading-new-technical-strategies-for-investing-in-unstable-markets-hardcover</link>
		<comments>http://sellingoptions.net/the-volatility-edge-in-options-trading-new-technical-strategies-for-investing-in-unstable-markets-hardcover#comments</comments>
		<pubDate>Tue, 08 Dec 2009 17:38:26 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[Option Trading]]></category>
		<category><![CDATA[Edge]]></category>
		<category><![CDATA[Hardcover]]></category>
		<category><![CDATA[Investing]]></category>
		<category><![CDATA[Markets]]></category>
		<category><![CDATA[Options]]></category>
		<category><![CDATA[Strategies]]></category>
		<category><![CDATA[Technical]]></category>
		<category><![CDATA[Trading]]></category>
		<category><![CDATA[Unstable]]></category>
		<category><![CDATA[Volatility]]></category>

		<guid isPermaLink="false">http://sellingoptions.net/the-volatility-edge-in-options-trading-new-technical-strategies-for-investing-in-unstable-markets-hardcover</guid>
		<description><![CDATA[
  &#8220;Jeff&#8217;s analysis is unique, at least among academic derivatives textbooks. I would definitely use this material in my derivatives class, as I believe students would benefit from analyzing the many dimensions of Jeff&#8217;s trading strategies. I especially found the material on trading the earnings cycle and discussion of how to insure against price [...]]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.amazon.com/Volatility-Edge-Options-Trading-Strategies/dp/0132354691/ref=sr_1_8/191-2560472-7596044?ie=UTF8&#038;s=books&#038;qid=1258231450&#038;sr=8-8?ie=UTF8&#038;tag=optitradbasi-20 "><img style="float:left;width: 150px;height:150px;margin-right: 10px;" src="http://ecx.images-amazon.com/images/I/51D1jhBaFuL._BO2,204,203,200_PIsitb-sticker-arrow-click,TopRight,35,-76_AA240_SH20_OU01_.jpg" alt="The Volatility Edge in Options Trading: New Technical Strategies for Investing in Unstable Markets" /></a></p>
<p>  &#8220;Jeff&#8217;s analysis is unique, at least among academic derivatives textbooks. I would definitely use this material in my derivatives class, as I believe students would benefit from analyzing the many dimensions of Jeff&#8217;s trading strategies. I especially found the material on trading the earnings cycle and discussion of how to insure against price jumps at known events very worthwhile.&#8221;  &#8211;DR. ROBERT JENNINGS, Professor of Finance, Indiana University Kelley School of Business &#8220;This is not just another book about options trading. The author shares a plethora of knowledge based on 20 years of trading experience and study of the financial markets. Jeff explains the myriad of complexities about options in a manner that is insightful and easy to understand. Given the growth in the options and derivatives markets over the past five years, this book is required reading for any serious investor or anyone in the financial service industries.&#8221;  &#8211;MICHAEL P. O&#8217;HARE, Head of Mergers &#038; <a href="http://www.amazon.com/Volatility-Edge-Options-Trading-Strategies/dp/0132354691/ref=sr_1_8/191-2560472-7596044?ie=UTF8&#038;s=books&#038;qid=1258231450&#038;sr=8-8?ie=UTF8&#038;tag=optitradbasi-20 " title="More at Amazon">(more&#8230;)</a><br/><br/></p>
]]></content:encoded>
			<wfw:commentRss>http://sellingoptions.net/the-volatility-edge-in-options-trading-new-technical-strategies-for-investing-in-unstable-markets-hardcover/feed</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Commodity Options: Trading and Hedging Volatility in the World&#8217;s Most Lucrative Market (Hardcover)</title>
		<link>http://sellingoptions.net/commodity-options-trading-and-hedging-volatility-in-the-worlds-most-lucrative-market-hardcover</link>
		<comments>http://sellingoptions.net/commodity-options-trading-and-hedging-volatility-in-the-worlds-most-lucrative-market-hardcover#comments</comments>
		<pubDate>Thu, 26 Nov 2009 12:45:31 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[Option Trading]]></category>
		<category><![CDATA[Commodity]]></category>
		<category><![CDATA[Hardcover]]></category>
		<category><![CDATA[Hedging]]></category>
		<category><![CDATA[Lucrative]]></category>
		<category><![CDATA[Market]]></category>
		<category><![CDATA[Most]]></category>
		<category><![CDATA[Options]]></category>
		<category><![CDATA[Trading]]></category>
		<category><![CDATA[Volatility]]></category>
		<category><![CDATA[World's]]></category>

		<guid isPermaLink="false">http://sellingoptions.net/commodity-options-trading-and-hedging-volatility-in-the-worlds-most-lucrative-market-hardcover</guid>
		<description><![CDATA[
  Don&#8217;t Miss out on Today&#8217;s Hottest Trading Arena: Commodity Options! &#8220;The authors have written the definitive work on trading commodity options. Their in-depth knowledge of this subject is legendary among industry professionals and expert traders alike, and their ability to relay their knowledge through text, pictures, and the spoken word is unparalleled in [...]]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.amazon.com/Commodity-Options-Trading-Volatility-Lucrative/dp/0137142862/ref=sr_1_4/191-2560472-7596044?ie=UTF8&#038;s=books&#038;qid=1258231450&#038;sr=8-4?ie=UTF8&#038;tag=optitradbasi-20 "><img style="float:left;width: 150px;height:150px;margin-right: 10px;" src="http://ecx.images-amazon.com/images/I/51aYxOoi5SL._BO2,204,203,200_PIsitb-sticker-arrow-click,TopRight,35,-76_AA240_SH20_OU01_.jpg" alt="Commodity Options: Trading and Hedging Volatility in the World's Most Lucrative Market" /></a></p>
<p>  Don&#8217;t Miss out on Today&#8217;s Hottest Trading Arena: Commodity Options! &#8220;The authors have written the definitive work on trading commodity options. Their in-depth knowledge of this subject is legendary among industry professionals and expert traders alike, and their ability to relay their knowledge through text, pictures, and the spoken word is unparalleled in our industry.&#8221;  &#8211;Lan Turner, CEO, Gecko Software, Inc. &#8220;This book captures the realities of commodity option trading in a simple and easy- to-read presentation that will be beneficial for traders of all sizes and skill levels.&#8221; &#8211;Chris Jarvis, CFA, CMT, Caprock Risk Management, LLC &#8220;Even the most experienced investors often overlook the fact that options on futures are fundamentally different from options on stocks. This book fills that gap and sets the record straight with clear and concise descriptions that are easy to understand. Guaranteed to become a true source of value creation for anyone interested in tradin <a href="http://www.amazon.com/Commodity-Options-Trading-Volatility-Lucrative/dp/0137142862/ref=sr_1_4/191-2560472-7596044?ie=UTF8&#038;s=books&#038;qid=1258231450&#038;sr=8-4?ie=UTF8&#038;tag=optitradbasi-20 " title="More at Amazon">(more&#8230;)</a></p>
]]></content:encoded>
			<wfw:commentRss>http://sellingoptions.net/commodity-options-trading-and-hedging-volatility-in-the-worlds-most-lucrative-market-hardcover/feed</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Buying and Selling Volatility (Kindle Edition)</title>
		<link>http://sellingoptions.net/buying-and-selling-volatility-kindle-edition</link>
		<comments>http://sellingoptions.net/buying-and-selling-volatility-kindle-edition#comments</comments>
		<pubDate>Fri, 20 Nov 2009 17:27:50 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[Option Trading]]></category>
		<category><![CDATA[Buying]]></category>
		<category><![CDATA[Edition]]></category>
		<category><![CDATA[Kindle]]></category>
		<category><![CDATA[Selling]]></category>
		<category><![CDATA[Volatility]]></category>

		<guid isPermaLink="false">http://sellingoptions.net/buying-and-selling-volatility-kindle-edition</guid>
		<description><![CDATA[
  The concept of profiting from trading volatility is not new, but is known to only a few players in the derivatives industry. Buying and Selling Volatility is the first book to explain this trading strategy in detail without using complex mathematics. Offering a new approach to the subject of options, seen purely from [...]]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.amazon.com/Buying-and-Selling-Volatility-ebook/dp/B001CJW7ZY/ref=sr_1_2/191-2560472-7596044?ie=UTF8&#038;s=books&#038;qid=1258231450&#038;sr=8-2?ie=UTF8&#038;tag=optitradbasi-20 "><img style="float:left;width: 150px;height:150px;margin-right: 10px;" src="http://ecx.images-amazon.com/images/I/41xDj4C0IzL._SL500_AA246_PIkin2,BottomRight,-13,34_AA280_SH20_OU01_.jpg" alt="Buying and Selling Volatility" /></a></p>
<p>  The concept of profiting from trading volatility is not new, but is known to only a few players in the derivatives industry. Buying and Selling Volatility is the first book to explain this trading strategy in detail without using complex mathematics. Offering a new approach to the subject of options, seen purely from a volatility viewpoint, the author uses illustrations to clearly explain the connection between volatility and options. He explains how investors can profit from the volatility, or lack of volatility, of an option price regardless of whether the market rises or falls. Useful to both novice investors and professional traders, Buying and Selling Volatility also supplies the reader with a risk management software system that is comparable to those used commercially.      </p>
<p>From the Publisher</p>
<p>  Buying and Selling Volatility explains, with the extensive use of diagrams, how one can profit from the volatility (or lack of it) of the price of an inst <a href="http://www.amazon.com/Buying-and-Selling-Volatility-ebook/dp/B001CJW7ZY/ref=sr_1_2/191-2560472-7596044?ie=UTF8&#038;s=books&#038;qid=1258231450&#038;sr=8-2?ie=UTF8&#038;tag=optitradbasi-20 " title="More at Amazon">(more&#8230;)</a></p>
]]></content:encoded>
			<wfw:commentRss>http://sellingoptions.net/buying-and-selling-volatility-kindle-edition/feed</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
	</channel>
</rss>

